| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34P/3NFKS65 | |||
| Repository | sid.inpe.br/mtc-m21b/2017/03.07.13.53 | |||
| Last Update | 2017:03.07.13.53.24 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m21b/2017/03.07.13.53.24 | |||
| Metadata Last Update | 2018:06.04.02.27.21 (UTC) administrator | |||
| DOI | 10.3390/rs9010077 | |||
| ISSN | 2072-4292 | |||
| Citation Key | ReisDutrSantEsca:2017:ExMuCh | |||
| Title | Examining multi-legend change detection in amazon with pixel and region based methods  | |||
| Year | 2017 | |||
| Access Date | 2024, May 19 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 33934 KiB | |||
| 2. Context | ||||
| Author | 1 Reis, Mariane Sousa 2 Dutra, Luciano Vieira 3 Sant'Anna, Sidnei João Siqueira 4 Escada, Maria Isabel Sobral | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMA 3 8JMKD3MGP5W/3C9JJ8N 4 8JMKD3MGP5W/3C9JHRG | |||
| Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 mariane.reis@inpe.br 2 luciano.dutra@inpe.br 3 sidnei.santanna@inpe.br 4 isabel.escada@inpe.br | |||
| Journal | Remote Sensing | |||
| Volume | 9 | |||
| Number | 1 | |||
| Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I | |||
| History (UTC) | 2017-03-07 13:53:24 :: simone -> administrator :: 2017-03-07 13:53:24 :: administrator -> simone :: 2016 2017-03-07 13:53:42 :: simone -> administrator :: 2016 -> 2017 2017-03-10 07:38:43 :: administrator -> simone :: 2017 2017-06-02 15:06:13 :: simone -> administrator :: 2017 2018-06-04 02:27:21 :: administrator -> simone :: 2017 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Keywords | Amazon Change detection Multi-legend Pixel based classification Region based classification | |||
| Abstract | Post-classification comparison is one of the most widely used change detection methods. However, it presents several operational problems that are often ignored, such as the occurrence of impossible transitions, difficulties in accuracy assessment and results not accurate enough for the purpose. This work aims to evaluate post-classification comparison change detection results obtained from LANDSAT5/TM data in a region of the Brazilian Amazon, using three legends in different levels of detail and both pixel wise and region based classifiers. A distinctive characteristic of the used approach is that each change mapping is the result of the combination of 100 land cover classifications for each date, obtained using varied training samples. This approach allowed to account for the training samples choice into the methodology, as well as the construction of confidence mappings. We presented and discussed different approaches for evaluating change results, such as the likelihood of land cover transitions occurring within the study area and time gap, the use of rectangular matrices to incorporate the occurrence of impossible or non evaluable changes and classification uncertainty. In general, change mappings obtained from region based classifications showed better results than the ones obtained from pixel based classifications. Globally, the use of region based approaches, in contrast to pixel based ones, led to an increase in accuracy of 15.5% for the change mapping from the most detailed legend, 7.8% for the one with the legend with intermediate level of detail and 3.6% for the less detailed one. In addition, individual transitions between land cover classes were better identified using region based approaches, with the exception of transitions from a non agriculture class to an agricultural one. The proposed quality mappings are useful to help to evaluate the change mappings, mainly in legend levels with higher level of detail and if reference samples are unreliable or unavailable. It was possible to access, in a spatially explicit way, that at least 29.0% of the pixel based change mapping and 21.9% of the region based one from the most detailed legend were erroneous classified, without ground truth information on the evaluated date. These values decreased to 0.5% and 1.4% (respectively the pixel and region based approaches) for results with the legend with the intermediate level of detail and are non existent in the results from the less detailed legend. The more generalized the legend (lower number of classes), the most similar are the accuracy of region and pixel based change mappings. These accuracy values also increase as fewer classes are considered in the legend, since similar classes are assembled during clustering, which reduces the overlap between groups. However, this accuracy is still low for operational purposes in areas with few changes, even considering the very high accuracy of the land cover classifications used to generate the change mappings (land cover classification with Overall Accuracy higher than 0.98 resulted in change mappings with Overall Accuracy around 0.83). | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Examining multi-legend change... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Examining multi-legend change... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
| |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGP3W34P/3NFKS65 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34P/3NFKS65 | |||
| Language | en | |||
| Target File | reis_examining.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | allowpublisher allowfinaldraft | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Linking | 8JMKD3MGP5W34M/3GJ7LFB | |||
| Mirror Repository | sid.inpe.br/mtc-m21b/2013/09.26.14.25.22 | |||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3F3NU5S | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.53.50 2 sid.inpe.br/bibdigital/2013/09.09.15.05 2 sid.inpe.br/mtc-m21/2012/07.13.15.00.20 2 | |||
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||